The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games.
Mikhail MozikovNikita SeverinValeria BodishtianuMaria GlushaninaMikhail BaklashkinAndrey V. SavchenkoIlya MakarovPublished in: CoRR (2024)
Keyphrases
- language model
- game theory
- game theoretic
- language modeling
- cooperative
- solution concepts
- document retrieval
- language modelling
- information retrieval
- n gram
- probabilistic model
- speech recognition
- statistical language models
- query expansion
- retrieval model
- multi agent systems
- nash equilibrium
- nash equilibria
- language models for information retrieval
- multi agent
- context sensitive
- decision makers
- query terms
- vector space model
- test collection
- ad hoc information retrieval
- translation model
- coalition formation
- machine learning
- smoothing methods
- incomplete information
- perfect information
- document ranking
- passage retrieval
- coalitional games
- term dependencies
- language modeling framework
- relevance model
- pseudo relevance feedback